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44. Ma SB, Afzal A, Kim KY (2018) Optimization of ring cavity in a centrifugal compressor based
on comparative analysis of optimization algorithms. App Th Eng 99:262–272. https://doi.org/
10.1016/j.applthermaleng.2018.04.094
45. Goel T, Vaidyanathan R, Haftka RT, Shyy W, Queipo NV, Tucker K (2007) Response surface
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61
30. Afzal A, Kim KY (2015) Multi-objective Optimization of a Passive Micromixer based on
periodic variation of Velocity profile. Chem Eng Commun 202:322–333. https://doi.org/10.
1080/00986445.2013.841150
31. Afzal A, Kim KY (2014) Three-objective optimization of a staggered herringbone micromixer.
Sens Actuat B: Chem 192:350–360. https://doi.org/10.1016/j.snb.2013.10.109
32. Afzal A, Kim KY (2015) Multi-objective Optimization of a Micromixer with Convergentdivergent sinusoidal walls. Chem Eng Commun 202:1324–1334. https://doi.org/10.1080/009
86445.2014.935352
33. McKay MD, Beckman RJ, Conover WJ (1979) A comparison of three methods for selecting
values of input variables in the analysis of output from a computer code. Technometrics 21:239–
245. https://doi.org/10.1080/00401706.1979.10489755
34. Stein M (1987) Large sample properties of simulations using latin hypercube sampling.
Technometrics 29:143–151. https://doi.org/10.1080/00401706.1987.10488205
35. Myers RH, Montgomery DC, Anderson-Cook CM (1995) Response surface methodology:
process and product optimization using designed experiments. Wiley, New York, pp 134–174
36. Chen S, Cowan CF, Grant PM (1991) Orthogonal least squares learning algorithm for radial
basis function networks. IEEE Trans Neural Netw 2:302–309. https://doi.org/10.1109/72.
80341
37. Martin JD, Simpson TW (2005) Use of Kriging models to approximate deterministic computer
models. AIAA J 43(4):853–863
38. Raza W, Kim KY (2008) Shape optimization of wire—wrapped fuel assembly using kriging
metamodeling technique. Nucl Eng Design 238(6):1332–1341. https://doi.org/10.1016/j.nuc
engdes.2007.10.018
39. Boggs PT, Tolle JW (2000) Sequential quadratic programming for large-scale nonlinear
optimization. J Comp App Math 124:123–137. https://doi.org/10.1016/S0377-0427(00)004
29-5
40. Kennedy J, Eberhart RC (1995) Particle swarm optimization. Proceedings of the IEEE
international conference on neural networks, Perth, Australia
41. Holland JH (1975) Adaptation in natural and artificial systems. The University of Michigan
Press, Ann Arbor
42. Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning.
Addison-Wesley, Boston
43. Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science
220:671–680. https://doi.org/10.1126/science.220.4598.671
44. Ma SB, Afzal A, Kim KY (2018) Optimization of ring cavity in a centrifugal compressor based
on comparative analysis of optimization algorithms. App Th Eng 99:262–272. https://doi.org/
10.1016/j.applthermaleng.2018.04.094
45. Goel T, Vaidyanathan R, Haftka RT, Shyy W, Queipo NV, Tucker K (2007) Response surface
optimization of Pareto-optimal front in multi-objective optimization. Comput Methods Appl
Mech Eng 196:879–893. https://doi.org/10.1016/j.cma.2006.07.010
46. Lloyd SP (1982) Least squares quantization in PCM. IEEE Trans Inf Theory 28:129–137.
https://doi.org/10.1109/TIT.1982.1056489